alps tb8775p1_64_titan_whitesnake_25b
Geekbench AI Score
353
Single Precision Score
332
Half Precision Score
723
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 06:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | alps tb8775p1_64_titan_whitesnake_25b |
| Model ID | alps tb8775p1_64_titan_whitesnake_25b |
| Motherboard | tb8775p1_64_titan_whitesnake_25b |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 5.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
100% |
545
101.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
515
8.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
663
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
651
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1200
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
83% |
513
41.5 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.18 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (Q)
|
95% |
936
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
396
3.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
483
3.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1132
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1188
1.54 IPS |
|
|
Style Transfer (HP)
|
89% |
1219
1.58 IPS |
|
|
Style Transfer (Q)
|
98% |
2605
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
696
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
200
266.9 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.9 IPS |
|
|
Text Classification (Q)
|
88% |
394
530.8 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (Q)
|
50% |
299
10.6 IPS |
